{"id":"W2736322126","doi":"","title":"Anti-HER2 : résistance, synergie : même combat ?","year":2012,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Healthcare Systems and Practices","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre d'expertise et de recherche en infrastructures urbaines","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01184504,0.0007416741,0.001562535,0.001018759,0.001966525,0.007360407,0.001278178,0.01005011,0.04726556],"category_scores_gemma":[0.02321396,0.0002672017,0.0006637609,0.0009326365,0.003691644,0.008274223,0.003178192,0.009010754,0.007604315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00289548,"about_ca_system_score_gemma":0.004506442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175124,"about_ca_topic_score_gemma":0.002344912,"domain_scores_codex":[0.9941002,0.002414376,0.000375256,0.0007951772,0.001358285,0.0009566774],"domain_scores_gemma":[0.9858958,0.00690699,0.0009680606,0.0008836993,0.003463918,0.00188147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005272622,0.0001712243,0.00262337,0.001537379,0.000191884,0.0009214363,0.002425126,0.0002746434,0.003136794,0.1281582,0.478445,0.3815877],"study_design_scores_gemma":[0.0001285425,0.0002681932,0.002956634,0.002287885,0.0001008124,0.00217701,0.005092377,0.0004129265,0.001330259,0.07453974,0.9106343,0.00007138711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.004109712,0.0502041,0.001180521,0.9103209,0.00855509,0.00001674249,0.0002197494,0.00005921943,0.02533396],"genre_scores_gemma":[0.2225963,0.1683945,0.004721336,0.4595889,0.055096,0.0002126867,0.0006748225,0.0002722479,0.0884432],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04726556,"threshold_uncertainty_score":0.158119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05838402999274653,"score_gpt":0.3574910267693815,"score_spread":0.299106996776635,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}